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Update links to OpenCV docs.

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This commit is contained in:
Stefan van der Walt
2010-05-25 10:29:13 -07:00
parent 01dca4ef5f
commit ce4d48d0db
2 changed files with 35 additions and 28 deletions
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scikits/image/opencv/_utilities.py
+7 -2
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@@ -12,7 +12,10 @@ class cvdoc(object):
base_url = 'http://opencv.willowgarage.com/documentation/'
branch_urls = {'cv':
{'image': 'image_processing',
{'filter': 'image_filtering',
'feature': 'feature_detection',
'geometry': 'geometric_image_transformations',
'transforms': 'miscellaneous_image_transformations',
'structural': 'structural_analysis',
'calibration': 'camera_calibration_and_3d_reconstruction'
},
@@ -36,7 +39,9 @@ class cvdoc(object):
return func
def _add_url(self, func):
name = func.__name__
# Remove cv prefix from name
name = func.__name__.lower()[2:]
full_url = (self.base_url +
self.branch_urls[self.package][self.group] +
'.html' + '#' + name)
scikits/image/opencv/opencv_cv.pyx
+28 -26
View File
@@ -1,3 +1,5 @@
# -*- python -*-
import ctypes
import numpy as np
@@ -293,7 +295,7 @@ c_cvDrawChessboardCorners = (<cvDrawChessboardCornersPtr*><size_t>
# cvSobel
#--------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='filter', doc=\
'''cvSobel(src, xorder=1, yorder=0, aperture_size=3)
Apply the Sobel operator to the input image.
@@ -346,7 +348,7 @@ def cvSobel(np.ndarray src, int xorder=1, int yorder=0,
# cvLaplace
#----------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='filter', doc=\
'''cvLaplace(src, aperture_size=3)
Apply the Laplace operator to the input image.
@@ -394,7 +396,7 @@ def cvLaplace(np.ndarray src, int aperture_size=3):
# cvCanny
#--------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='feature', doc=\
'''cvCanny(src, threshold1=10, threshold2=50, aperture_size=3)
Apply Canny edge detection to the input image.
@@ -442,7 +444,7 @@ def cvCanny(np.ndarray src, double threshold1=10, double threshold2=50,
# cvPreCornerDetect
#------------------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='feature', doc=\
'''cvPreCornerDetect(src, aperture_size=3)
Calculate the feature map for corner detection.
@@ -484,7 +486,7 @@ def cvPreCornerDetect(np.ndarray src, int aperture_size=3):
# cvCornerEigenValsAndVecs
#-------------------------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='feature', doc=\
'''cvCornerEigenValsAndVecs(src, block_size=3, aperture_size=3)
Calculates the eigenvalues and eigenvectors of image
@@ -538,7 +540,7 @@ def cvCornerEigenValsAndVecs(np.ndarray src, int block_size=3,
# cvCornerMinEigenVal
#--------------------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='feature', doc=\
'''cvCornerMinEigenVal(src, block_size=3, aperture_size=3)
Calculates the minimum eigenvalues of gradient matrices
@@ -585,7 +587,7 @@ def cvCornerMinEigenVal(np.ndarray src, int block_size=3,
# cvCornerHarris
#---------------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='feature', doc=\
'''cvCornerHarris(src, block_size=3, aperture_size=3, k=0.04)
Applies the Harris edge detector to the input image.
@@ -642,7 +644,7 @@ def cvCornerHarris(np.ndarray src, int block_size=3, int aperture_size=3,
# cvFindCornerSubPix
#-------------------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='feature', doc=\
'''cvFindCornerSubPix(src, corners, win, zero_zone=(-1, -1), iterations=0, epsilon=1e-5)
Refines corner locations to sub-pixel accuracy.
@@ -718,7 +720,7 @@ def cvFindCornerSubPix(np.ndarray src, np.ndarray corners, win,
# cvGoodFeaturesToTrack
#----------------------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='feature', doc=\
'''cvGoodFeaturesToTrack(src, corner_count, quality_level, min_distance, block_size=3, use_harris=0, k=0.04)
Determines strong corners in an image.
@@ -803,7 +805,7 @@ def cvGoodFeaturesToTrack(np.ndarray src, int corner_count,
# cvGetRectSubPix
#----------------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='geometry', doc=\
'''cvGetRectSubPix(src, size, center)
Retrieves the pixel rectangle from an image with
@@ -861,7 +863,7 @@ def cvGetRectSubPix(np.ndarray src, size, center):
# cvGetQuadrangleSubPix
#----------------------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='geometry', doc=\
'''cvGetQuadrangleSubPix(src, warpmat, float_out=False)
Retrieves the pixel quandrangle from an image with
@@ -936,7 +938,7 @@ def cvGetQuadrangleSubPix(np.ndarray src, np.ndarray warpmat, float_out=False):
# cvResize
#---------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='geometry', doc=\
'''cvResize(src, size, method=CV_INTER_LINEAR)
Resize an to the given size.
@@ -994,7 +996,7 @@ def cvResize(np.ndarray src, size, int method=CV_INTER_LINEAR):
# cvWarpAffine
#-------------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='geometry', doc=\
'''cvWarpAffine(src, warpmat, flag=CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS, fillval=(0., 0., 0., 0.))
Applies an affine transformation to the image.
@@ -1085,7 +1087,7 @@ def cvWarpAffine(np.ndarray src, np.ndarray warpmat,
# cvWarpPerspective
#------------------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='geometry', doc=\
'''cvWarpPerspective(src, warpmat, flag=CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS, fillval=(0., 0., 0., 0.))
Applies a perspective transformation to an image.
@@ -1170,7 +1172,7 @@ def cvWarpPerspective(np.ndarray src, np.ndarray warpmat,
# cvLogPolar
#-----------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='geometry', doc=\
'''cvLogPolar(src, center, M, flag=CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS)
Remaps and image to Log-Polar space.
@@ -1242,7 +1244,7 @@ def cvLogPolar(np.ndarray src, center, double M,
# cvErode
#--------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='filter', doc=\
'''cvErode(src, element=None, iterations=1, anchor=None, in_place=False)
Erode the source image with the given element.
@@ -1308,7 +1310,7 @@ def cvErode(np.ndarray src, np.ndarray element=None, int iterations=1,
# cvDilate
#---------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='filter', doc=\
'''cvDilate(src, element=None, iterations=1, anchor=None, in_place=False)
Dilate the source image with the given element.
@@ -1374,7 +1376,7 @@ def cvDilate(np.ndarray src, np.ndarray element=None, int iterations=1,
# cvMorphologyEx
#---------------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='filter', doc=\
'''cvMorphologyEx(src, element, operation, iterations=1, anchor=None, in_place=False)
Apply a morphological operation to the image.
@@ -1464,7 +1466,7 @@ def cvMorphologyEx(np.ndarray src, np.ndarray element, int operation,
# cvSmooth
#---------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='filter', doc=\
'''cvSmooth(src, smoothtype=CV_GAUSSIAN, param1=3, param2=0, param3=0., param4=0., in_place=False)
Smooth an image with the specified filter.
@@ -1607,7 +1609,7 @@ def cvSmooth(np.ndarray src, int smoothtype=CV_GAUSSIAN, int param1=3,
# cvFilter2D
#-----------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='filter', doc=\
'''cvFilter2D(src, kernel, anchor=None, in_place=False)
Convolve an image with the given kernel.
@@ -1687,7 +1689,7 @@ def cvFilter2D(np.ndarray src, np.ndarray kernel, anchor=None, in_place=False):
# cvIntegral
#-----------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='transforms', doc=\
'''cvIntegral(src, square_sum=False, titled_sum=False)
Calculate the integral of an image.
@@ -1768,7 +1770,7 @@ def cvIntegral(np.ndarray src, square_sum=False, tilted_sum=False):
# cvCvtColor
#-----------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='transforms', doc=\
'''cvCvtColor(src, code)
Convert an image to another color space.
@@ -1860,7 +1862,7 @@ def cvCvtColor(np.ndarray src, int code):
# cvThreshold
#------------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='transforms', doc=\
'''cvThreshold(src, threshold, max_value=255, threshold_type=CV_THRESH_BINARY, use_otsu=False)
Threshold an image.
@@ -1922,7 +1924,7 @@ def cvThreshold(np.ndarray src, double threshold, double max_value=255,
# cvAdaptiveThreshold
#--------------------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='transforms', doc=\
'''cvAdaptiveThreshold(src, max_value, adaptive_method=CV_ADAPTIVE_THRESH_MEAN_C, threshold_type=CV_THRESH_BINARY, block_size=3, param1=5)
Apply an adaptive threshold to an image.
@@ -1988,7 +1990,7 @@ def cvAdaptiveThreshold(np.ndarray src, double max_value,
# cvPyrDown
#----------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='filter', doc=\
'''cvPyrDown(src)
Downsample an image.
@@ -2030,7 +2032,7 @@ def cvPyrDown(np.ndarray src):
# cvPyrUp
#--------
@cvdoc(package='cv', group='image', doc=\
@cvdoc(package='cv', group='filter', doc=\
'''cvPyrUp(src)
Upsample an image.